| Application: | 36509, Role of vascular risk factors, genes and lifestyle in the risk of cerebrovascular disease, cognitive decline and dementia. |
| Title: | Prevalence and Risk Factors of Cerebral Microbleeds |
| Size: | 59744 B |
| Archived: | 9 Feb 2024 |
| Stability: | Complete |
| Personal: | Contains individual-level data |
Return 2320
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Notes
This paper describes the prevalence of cerebral microbleeds in 8159 subjects from the UK Biobank. These are manually identified. The distribution of these is described and the relationship of these with risk factors is analysed. It is found that one or more definite CMB were detected in 572 (7.0%) of subjects. Of those with CMB 439 (76.7%) had lobar CMB, 103 (18.0%) had deep CMB, and 83 (14.5%) had infratentorial CMB. Age was an independent risk factor for CMB in all locations. ApoE4 and male sex were positively, and higher BMI were negatively associated, with lobar CMB. In contrast, hypertension, smoking and alcohol consumption were associated with deep CMB, but not with lobar CMB. Only age was associated with infratentorial CMB.Application 36509
Role of vascular risk factors, genes and lifestyle in the risk of cerebrovascular disease, cognitive decline and dementia.
Cerebrovascular disease is a strong risk factor for cognitive decline and subsequently dementia. Vascular risk factors, genes and lifestyle have been associated with both cerebrovascular disease and cognitive decline, but the underlying pathophysiological mechanisms are complex. Our study aims to integrate and analyse the extensive clinical, epidemiological, genetic and imaging data available, in order to - elucidate the biological pathways through which the vascular, (novel) genetic and lifestyle factors interact and are linked with acute cerebrovascular events, magnetic resonance imaging features of cerebrovascular disease, cognitive decline and dementia - to what extend demographic characteristics and prescribed medication influence these relations An aim of UK Biobank is the reliable assessment of different causes of disease. The extensive clinical, epidemiological and genetic data available in UK Biobank provide the opportunity to increase our insight in the interplay and causality of different risk factors in the pathophysiological mechanisms underlying cerebrovascular disease or dementia. Previously, small sample sizes of typical cohort studies have limited the possibility to perform these analyses. We will test for associations between the risk We will test for associations between the risk factors of interests and the phenotypes under study. We aim to identify novel genetic risk variants for the phenotypes under study by performing genome-wide association studies and statistically more efficient methods including pleiotropy-based methods. In addition we will do a comprehensive computational assessment of how the risk factors of interest interact in influencing the phenotypes under study and explore any mediating relationships. Data from the full cohort will be required (both males and females).
| Lead investigator: | Professor Hugh Markus |
| Lead institution: | University of Cambridge |
3 related Returns
| Return ID | App ID | Description | Archive Date |
|---|---|---|---|
| 3866 | 36509 | Association of common genetic variants with brain microbleeds | 28 Sep 2021 |
| 3694 | 36509 | Genome-wide association study of MRI markers of cerebral small vessel disease in 42,310 participants | 29 Jul 2021 |
| 3282 | 36509 | Network Efficiency Mediates the Relationship Between Vascular Burden and Cognitive Impairment | 6 Apr 2021 |
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